3 docs tagged with "Data Quality"

Beyond predefined rules, you can now create custom rules using SQL queries. These rules provide flexibility to test specific conditions and tailor rules to your data quality requirements.

Data quality is a tool that measures if your data meets the requirements for its intended use. It ensures your data is accurate, consistent, complete, and reliable—qualities essential for making reliable business decisions. High-quality data minimizes errors and fosters confidence in your insights. However, what is considered "high quality" or "good" can vary based on the specific use case. That's why Dataedo allows you to define what to check and set your expectations for data quality.

Lineage's role in helping you trust and quickly analyze your data is further amplified by the introduction of indicators in Data lineage diagrams. Data Quality indicators, Badges, and Classification tags are displayed on objects, making it easier to notice potential issues regarding data outflows or downstream artifact creation, as well as quickly ascertain the reliability and importance of data participating in the dataflow.